Evidence map›Paper›PMID 24484889›Full record

ReviewCurrent opinion in biotechnology2014

Advances in high-throughput single-cell microtechnologies.

Westbrook M Weaver, Peter Tseng, Anja Kunze, Mahdokht Masaeli, Aram J Chung, Jaideep S Dudani, Harsha Kittur, Rajan P Kulkarni, Dino Di Carlo

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Biophysical Approaches for Applying and Measuring Biological Forces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Unraveling the mechanobiology of immune cells.Current opinion in biotechnology · 2020
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Westbrook M WeaverDepartment of Bioengineering, University of California, Los Angeles, United States.
Peter TsengDepartment of Bioengineering, University of California, Los Angeles, United States.
Anja KunzeDepartment of Bioengineering, University of California, Los Angeles, United States.
Mahdokht MasaeliDepartment of Bioengineering, University of California, Los Angeles, United States.
Aram J ChungDepartment of Bioengineering, University of California, Los Angeles, United States.
Jaideep S DudaniDepartment of Bioengineering, University of California, Los Angeles, United States.
Harsha KitturDepartment of Bioengineering, University of California, Los Angeles, United States.
Rajan P KulkarniDivision of Dermatology, UCLA Medical Center, United States.
Dino Di CarloDepartment of Bioengineering, University of California, Los Angeles, United States; California NanoSystems Institute, University of California, Los Angeles, United States. Electronic address: dicarlo@ucla.edu.

Funding

Engineering the Intracellular Micro- and NanoenvironmentDP2OD007113 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DI CARLO, DINO · 2010 to 2010
$2.3M
Isolating circulating tumor cells using a centrifuge on a chipR33CA177456 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DI CARLO, DINO · 2013 to 2015
$719k
NCI NIH HHS R33 CA177456NIH HHS DP2 OD007113
6 · The paper itself

Abstract

Micro-scale biological tools that have allowed probing of individual cells--from the genetic, to proteomic, to phenotypic level--have revealed important contributions of single cells to direct normal and diseased body processes. In analyzing single cells, sample heterogeneity between and within specific cell types drives the need for high-throughput and quantitative measurement of cellular parameters. In recent years, high-throughput single-cell analysis platforms have revealed rare genetic subpopulations in growing tumors, begun to uncover the mechanisms of antibiotic resistance in bacteria, and described the cell-to-cell variations in stem cell differentiation and immune cell response to activation by pathogens. This review surveys these recent technologies, presenting their strengths and contributions to the field, and identifies needs still unmet toward the development of high-throughput single-cell analysis tools to benefit life science research and clinical diagnostics.

Indexed as

AnimalsHigh-Throughput Screening AssaysHumansMicrotechnologyNeoplasmsProteomicsSingle-Cell AnalysisStem Cells

Identifiers

PMID24484889
PMCPMC3912466

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.